

Innovum
AI Python Developer Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Python Developer Data Engineer with a contract length of "unknown," offering a pay rate of "unknown," located "remote." Key skills include Python, AI/ML workflows, APIs, CI/CD, and AWS. Requires a Bachelor's degree and 3+ years of relevant experience.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
January 14, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
San Diego, CA
-
π§ - Skills detailed
#AWS (Amazon Web Services) #Scala #DevOps #PyTorch #Libraries #Computer Science #Data Engineering #Kubernetes #SageMaker #Data Pipeline #Cloud #Data Access #Lambda (AWS Lambda) #Docker #Automation #ML (Machine Learning) #Python #Athena #Model Deployment #AI (Artificial Intelligence) #Data Processing #Deployment #TensorFlow
Role description
Job Title:
Python Developer / Data Engineer β AI Tools & Platforms
Job Description:
The Developer on the AI Tools & Platforms team will design, build, and maintain internal tools and frameworks that accelerate AI/ML research and development across the organization. This role focuses on creating reusable and scalable components, enabling rapid prototyping, data engineering support, and supporting production integration of AI/ML models. The developer will collaborate closely with product teams, AI/ML teams, data teams, DevOps engineers, and business SMEs to ensure seamless integration and operational excellence.
Key Responsibilities:
β’ Develop Python-based internal tools that simplify experimentation, data access, and model iteration.
β’ Create reusable Python frameworks for rapid prototyping of analytics and AI/ML workflows.
β’ Create and support model inference services.
β’ Support Proof of Concept (POC) projects with custom Python utilities for fast validation.
β’ Collaborate with AI/ML engineers for data engineering support.
β’ Partner with DevOps and data pipeline teams for smooth production integration.
β’ Document and share best practices, reusable components, and patterns for AI/ML development.
β’ Collaboration with international development teams
Required Skills:
β’ Proficiency in Python, including experience with libraries for data processing and automation.
β’ Familiarity with AI/ML workflows, including data preprocessing and model deployment.
β’ Experience building APIs, SDKs, or internal tools for data and model access using Python.
β’ Knowledge of CI/CD pipelines and containerization (e.g., Docker, Kubernetes).
β’ Understanding of cloud platforms (AWS) and scalable infrastructure.
β’ Excellent communication skills with the ability to clearly articulate technical concepts and collaborate effectively.
Preferred Skills:
β’ Experience with experiment tracking systems and data versioning.
β’ Exposure to ML frameworks (TensorFlow, PyTorch) and analytics tools.
β’ Experience with relevant AWS services (Fargate, Lambda, Glue, Athena, SageMaker)
β’ Ability to work creatively on loosely defined specifications.
β’ Ability to work collaboratively across teams and communicate technical concepts clearly.
Education & Experience:
β’ Bachelorβs degree in Computer Science, Software Engineering, or related field.
β’ 3+ years of software development experience, preferably in AI/ML or data engineering environments.
Job Title:
Python Developer / Data Engineer β AI Tools & Platforms
Job Description:
The Developer on the AI Tools & Platforms team will design, build, and maintain internal tools and frameworks that accelerate AI/ML research and development across the organization. This role focuses on creating reusable and scalable components, enabling rapid prototyping, data engineering support, and supporting production integration of AI/ML models. The developer will collaborate closely with product teams, AI/ML teams, data teams, DevOps engineers, and business SMEs to ensure seamless integration and operational excellence.
Key Responsibilities:
β’ Develop Python-based internal tools that simplify experimentation, data access, and model iteration.
β’ Create reusable Python frameworks for rapid prototyping of analytics and AI/ML workflows.
β’ Create and support model inference services.
β’ Support Proof of Concept (POC) projects with custom Python utilities for fast validation.
β’ Collaborate with AI/ML engineers for data engineering support.
β’ Partner with DevOps and data pipeline teams for smooth production integration.
β’ Document and share best practices, reusable components, and patterns for AI/ML development.
β’ Collaboration with international development teams
Required Skills:
β’ Proficiency in Python, including experience with libraries for data processing and automation.
β’ Familiarity with AI/ML workflows, including data preprocessing and model deployment.
β’ Experience building APIs, SDKs, or internal tools for data and model access using Python.
β’ Knowledge of CI/CD pipelines and containerization (e.g., Docker, Kubernetes).
β’ Understanding of cloud platforms (AWS) and scalable infrastructure.
β’ Excellent communication skills with the ability to clearly articulate technical concepts and collaborate effectively.
Preferred Skills:
β’ Experience with experiment tracking systems and data versioning.
β’ Exposure to ML frameworks (TensorFlow, PyTorch) and analytics tools.
β’ Experience with relevant AWS services (Fargate, Lambda, Glue, Athena, SageMaker)
β’ Ability to work creatively on loosely defined specifications.
β’ Ability to work collaboratively across teams and communicate technical concepts clearly.
Education & Experience:
β’ Bachelorβs degree in Computer Science, Software Engineering, or related field.
β’ 3+ years of software development experience, preferably in AI/ML or data engineering environments.






